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my_extractor_model
sarrajsareef/my_extractor_model
my_extractor_model is a machine learning model from sarrajsareef. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Mar 19, 2024
- Updated
- Mar 20, 2024
- SHA
- 5cb88a62
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
my_extractor_model
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0832
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 6.5
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 40 | 1.1185 | 0.0 | 0.0 | 0.0 | 0.0 | 5.925 |
| No log | 2.0 | 80 | 1.0907 | 0.0 | 0.0 | 0.0 | 0.0 | 6.5 |
| No log | 3.0 | 120 | 1.0562 | 0.0 | 0.0 | 0.0 | 0.0 | 6.3875 |
| No log | 4.0 | 160 | 1.0832 | 0.0 | 0.0 | 0.0 | 0.0 | 6.5 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- mbart
- Created
- Mar 19, 2024
- Updated
- Mar 20, 2024